Senior Applied Scientist

1 month ago


Bengaluru, Karnataka, India alphastream Full time
About the Company:
Alphastream.ai is a leading provider of AI and machine learning solutions for capital markets. Our mission is to empower wealth managers, asset managers, hedge funds, banks, and investors with accurate and timely information, analytics, and tools for simple to complex financial data.

We are seeking a highly experienced Senior Applied Scientist to join our team. This individual will be responsible for building and enhancing AI-driven products, optimizing data pipelines, and mentoring a high-performing team.

The ideal candidate will have at least 12 years of experience in applied science or machine learning roles, with expertise in information retrieval, information extraction, large language models (LLMs), and ranking algorithms. They will also have hands-on experience with vector databases and strong programming skills in Python or other machine learning languages.

Job Responsibilities:
  • LLM Development: Lead the pre-training and fine-tuning of large language models (LLMs) to optimize performance for specific use cases.
  • Information Retrieval, Extraction & Classification: Develop and implement techniques for retrieving, extracting, classifying, and ranking large-scale datasets using advanced algorithms and vector databases.
  • AI Operationalization: Ensure AI models are effectively deployed in production environments, focusing on performance, scalability, and reliability.
  • Data Pipeline Creation: Design, build, and maintain robust data pipelines to streamline the flow of data for AI applications.
  • Data Curation: Lead efforts in data collection, cleaning, and curation to ensure high-quality datasets for machine learning models.
  • Algorithm Development: Innovate and enhance ranking algorithms to improve the quality and relevance of search and recommendation systems.
  • Performance Optimization: Continuously monitor and fine-tune model performance to meet the highest standards of accuracy, speed, and efficiency.
  • Mentorship: Provide leadership, guidance, and mentorship to junior team members to foster a collaborative and growth-oriented environment.

Benefits:
  • A competitive salary range of $250,000 - $350,000 per year, depending on experience.
  • A comprehensive benefits package, including health insurance, retirement plans, and paid time off.
  • Opportunities for professional growth and development, including training and mentorship programs.
  • A dynamic and inclusive work environment that values diversity and promotes a healthy work-life balance.

Requirements:
  • At least 12 years of experience in applied science or machine learning roles.
  • Expertise in information retrieval, information extraction, LLMs, and ranking algorithms.
  • Hands-on experience with vector databases and strong programming skills in Python or other machine learning languages.
  • An advanced degree in Computer Science, Machine Learning, or a related field.


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